rgiordan
I'm an assistant professor of statistics at UC Berkeley. I have worked at Google and in the US Peace Corps.
UC BerkeleyBerkeley, CA
Pinned Repositories
AISTATS2019SwissArmyIJ
A public repository for our paper, A Swiss Army Infinitesimal Jackknife
CelesteDev.jl
CovariancesRobustnessVBPaper
DADVIPaper
Code to reproduce our DADVI paper
LinearResponseVariationalBayes.py
LinearResponseVariationalBayesNIPS2015
Code and text for our NIPS 2015 paper on linear response variational Bayes
paragami
"Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
StanSensitivity
Tools for automatically generating local sensitivity measures in Stan.
vittles
"Variational inference tools to leverage estimator sensitivity."
zaminfluence
Tools in R for computing and using Z-estimator approximate influence functions.
rgiordan's Repositories
rgiordan/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
rgiordan/autograd
Efficiently computes derivatives of numpy code.
rgiordan/fastStructure
A variational framework for inferring population structure from SNP genotype data.
rgiordan/rstan
RStan, the R interface to Stan
rgiordan/stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
rgiordan/IslandDistribution
rgiordan/scikit-learn
scikit-learn: machine learning in Python
rgiordan/LinearResponseVariationalBayesNIPS2015
Code and text for our NIPS 2015 paper on linear response variational Bayes
rgiordan/elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
rgiordan/DECamSurvey.jl
rgiordan/LinearResponseVariationalBayes.jl
Julia tools for building simple variational Bayes models with JuMP
rgiordan/example-models
Example models for Stan
rgiordan/CelesteDev.jl
rgiordan/LinearResponseVariationalBayes.cpp
rgiordan/MVNMixtureLRVB
rgiordan/StanHeaderExample
rgiordan/ADVI-test
rgiordan/SloanDigitalSkySurvey.jl
Tools for reading files from the Sloan Digital Sky Survey
rgiordan/math
Stan Math Library
rgiordan/RPackageCppExamples
rgiordan/Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
rgiordan/Celeste.jl
Scalable inference for a generative model of astronomical images
rgiordan/GaussianMixtures.jl
Julia modules for Gaussian Mixture Models
rgiordan/FITSIO.jl
FITS file package for Julia
rgiordan/juliaopt-notebooks
A collection of IJulia notebooks related to optimization
rgiordan/astrometry.net
Astrometry.net -- automatic recognition of astronomical images
rgiordan/fast_point_mixtures
rgiordan/rejection_bias
rgiordan/censored_pareto
For Everett's stuff